ó ݲk^c @sòddlZddlZddlmZmZmZmZmZmZdZ d„Z d„Z d„Z e d„Ze d„Ze d„Ze d„Ze d„Ze d„Ze d„Zd„Ze d„Zde d„Zded„ZdS( iÿÿÿÿNi(tmaptzipt iteritemstiterkeyst itervaluestreducetmerget merge_withtvalmaptkeymaptitemmapt valfiltert keyfiltert itemfiltertassoctdissoctassoc_int update_intget_incCsD|jdtƒ}|r@tdj|j|jƒdƒƒ‚n|S(Ntfactorys.{0}() got an unexpected keyword argument '{1}'i(tpoptdictt TypeErrortformatt__name__tpopitem(tftkwargsR((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyt _get_factory s  cOsmt|ƒdkr3t|dtƒ r3|d}ntt|ƒ}|ƒ}x|D]}|j|ƒqRW|S(sô Merge a collection of dictionaries >>> merge({1: 'one'}, {2: 'two'}) {1: 'one', 2: 'two'} Later dictionaries have precedence >>> merge({1: 2, 3: 4}, {3: 3, 4: 4}) {1: 2, 3: 3, 4: 4} See Also: merge_with ii(tlent isinstanceRRRtupdate(tdictsRRtrvtd((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRs&   cOs¶t|ƒdkr3t|dtƒ r3|d}ntt|ƒ}|ƒ}xX|D]P}xGt|ƒD]9\}}||kr|g||>> merge_with(sum, {1: 1, 2: 2}, {1: 10, 2: 20}) {1: 11, 2: 22} >>> merge_with(first, {1: 1, 2: 2}, {2: 20, 3: 30}) # doctest: +SKIP {1: 1, 2: 2, 3: 30} See Also: merge ii(RRRRRRtappendR(tfuncR RRtresultR"tktv((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR*s&    cCs8|ƒ}|jtt|ƒt|t|ƒƒƒƒ|S(sÞ Apply function to values of dictionary >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]} >>> valmap(sum, bills) # doctest: +SKIP {'Alice': 65, 'Bob': 45} See Also: keymap itemmap (RRRRR(R$R"RR!((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRGs +cCs8|ƒ}|jtt|t|ƒƒt|ƒƒƒ|S(sò Apply function to keys of dictionary >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]} >>> keymap(str.lower, bills) # doctest: +SKIP {'alice': [20, 15, 30], 'bob': [10, 35]} See Also: valmap itemmap (RRRRR(R$R"RR!((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR Ws +cCs)|ƒ}|jt|t|ƒƒƒ|S(sÜ Apply function to items of dictionary >>> accountids = {"Alice": 10, "Bob": 20} >>> itemmap(reversed, accountids) # doctest: +SKIP {10: "Alice", 20: "Bob"} See Also: keymap valmap (RRR(R$R"RR!((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR gs cCsC|ƒ}x3t|ƒD]%\}}||ƒr|||>> iseven = lambda x: x % 2 == 0 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> valfilter(iseven, d) {1: 2, 3: 4} See Also: keyfilter itemfilter valmap (R(t predicateR"RR!R&R'((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR ws  cCsC|ƒ}x3t|ƒD]%\}}||ƒr|||>> iseven = lambda x: x % 2 == 0 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> keyfilter(iseven, d) {2: 3, 4: 5} See Also: valfilter itemfilter keymap (R(R(R"RR!R&R'((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR ‹s  cCsI|ƒ}x9t|ƒD]+}||ƒr|\}}|||>> def isvalid(item): ... k, v = item ... return k % 2 == 0 and v < 4 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> itemfilter(isvalid, d) {2: 3} See Also: keyfilter valfilter itemmap (R(R(R"RR!titemR&R'((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR Ÿs    cCs&|ƒ}|||>> assoc({'x': 1}, 'x', 2) {'x': 2} >>> assoc({'x': 1}, 'y', 3) # doctest: +SKIP {'x': 1, 'y': 3} R(R(R"tkeytvalueRtd2((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyR·s  cGs:tj|ƒ}x$|D]}||kr||=qqW|S(sB Return a new dict with the given key(s) removed. New dict has d[key] deleted for each supplied key. Does not modify the initial dictionary. >>> dissoc({'x': 1, 'y': 2}, 'y') {'x': 1} >>> dissoc({'x': 1, 'y': 2}, 'y', 'x') {} >>> dissoc({'x': 1}, 'y') # Ignores missing keys {'x': 1} (tcopy(R"tkeysR,R*((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRÆs   cst||‡fd†ˆ|ƒS(sê Return a new dict with new, potentially nested, key value pair >>> purchase = {'name': 'Alice', ... 'order': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP {'credit card': '5555-1234-1234-1234', 'name': 'Alice', 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} csˆS(N((tx(R+(s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pytæs(R(R"R.R+R((R+s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRÚs c Cs°t|ƒdkst‚|d|d}}|rqt||t||krU||n|ƒ||||ƒ|ƒS||kr|||ƒn ||ƒ}t||||ƒSdS(s  Update value in a (potentially) nested dictionary inputs: d - dictionary on which to operate keys - list or tuple giving the location of the value to be changed in d func - function to operate on that value If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the original dictionary with v replaced by func(v), but does not mutate the original dictionary. If k0 is not a key in d, update_in creates nested dictionaries to the depth specified by the keys, with the innermost value set to func(default). >>> inc = lambda x: x + 1 >>> update_in({'a': 0}, ['a'], inc) {'a': 1} >>> transaction = {'name': 'Alice', ... 'purchase': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP {'credit card': '5555-1234-1234-1234', 'name': 'Alice', 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} >>> # updating a value when k0 is not in d >>> update_in({}, [1, 2, 3], str, default="bar") {1: {2: {3: 'bar'}}} >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) {1: 'foo', 2: {3: {4: 1}}} iiN(RtAssertionErrorRR(R"R.R$tdefaultRR&tkst innermost((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRés"((cCsEyttj||ƒSWn'tttfk r@|r<‚n|SXdS(s4 Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless ``no_default`` is specified, then it raises KeyError or IndexError. ``get_in`` is a generalization of ``operator.getitem`` for nested data structures such as dictionaries and lists. >>> transaction = {'name': 'Alice', ... 'purchase': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> get_in(['purchase', 'items', 0], transaction) 'Apple' >>> get_in(['name'], transaction) 'Alice' >>> get_in(['purchase', 'total'], transaction) >>> get_in(['purchase', 'items', 'apple'], transaction) >>> get_in(['purchase', 'items', 10], transaction) >>> get_in(['purchase', 'total'], transaction, 0) 0 >>> get_in(['y'], {}, no_default=True) Traceback (most recent call last): ... KeyError: 'y' See Also: itertoolz.get operator.getitem N(RtoperatortgetitemtKeyErrort IndexErrorR(R.tcollR2t no_default((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyRs ( RRRR R R R R RRRRR(R-R5t compatibilityRRRRRRt__all__RRRRRR R R R R RRRtNoneRtFalseR(((s<lib/python2.7/site-packages/conda/_vendor/toolz/dicttoolz.pyts&  .            -